Abstract

Muscle sonography may show high densities in various myopathic conditions. Further classification among myopathic conditions could be possible by texture analysis, which analyzes relationships between the neighboring pixel densities. The following groups of subjects were assessed: (1) 19 patients with myotonic dystrophy type 1 (MD1), (2) 11 patients with inflammatory myopathy (IM), and (3) 16 normal control. A LOGIQe ultrasonography and an 11-MHz linear probe were used to obtain muscle images of medial gastrocnemius. Texture parameters were obtained by MaZda software. Linear Discriminant Analysis (LDA) was performed for texture-based classification. The mean echodensities of MD1 and IM were higher than those of the control, which yielded high areas under curve (AUC) >0.95. However, MD1 and IM were poorly discriminated by any of the histogram-related parameters (AUC

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